ขั้นตอนวิธีสำหรับการแปลภาษามลายูอักษรยาวีเป็นภาษาไทย (An Algorithm for Translation Bahasa Jawi into Thai )
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Published:
Sep 6, 2019
Keywords:
Bahasa Melayu Yawee Template Matching Union intersection
Main Article Content
Abstract
In digital image processing, the process of image enhancement is necessary as it was applied with other techniques for diverse application domains such as image-based language translation. In this research, the image enhancement was carried out by creating image pattern based on greyscale conversion and threshold-based binary method. Created image pattern was stored in a database. Image-based algorithm template matching with union intersection (TMUI) was also performed in this work for translating from Bahasa Jawi into Thai. The results showed that the accuracy was 98.50%.
Article Details
Section
บทความวิจัย
References
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Al-Amri, S. S., & Kalyankar, N. V. (2010). Image segmentation by using threshold techniques. arXiv preprint arXiv:1005.4020, Journal of Computing, 2(5),83-86.
Briechle, K., & Hanebeck, U. D. (2001). Template matching using fast normalized cross correlation. The Proceedings of the Optical Pattern Recognition XII. Proc. SPIE 4387 , 20 March 2001 at Orlando, FL, United States.
Chiang, D. (2010). Learning to translate with source and target syntax. The Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 11-16 July 2010, Uppsala, Sweden, 1443-1452.
Cohn, T., & Specia, L. (2013). Modelling annotator bias with multi-task gaussian processes: An application to machine translation quality estimation. The Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 4-9 August 2013, Sofia, Bulgaria, 32–42.
Dawoud, N. N., Samir, B. B., & Janier, J. (2011). Fast template matching method based optimized sum of absolute difference algorithm for face localization. International Journal of Computer Applications, 18(8), 0975-8887.
Egashira, R. (2000).Language processing unit and a language processing method to translate a source program and generate an object module file. In: Google Patents. U.S. Patent No. 6,014,519. 11 January 2000.
Fiorio, C., & Gustedt, J. (1996). Two linear time union-find strategies for image processing. Theoretical Computer Science, 154(2), 165-181.
Herriman, M. (2005). Language, Ethnicity, Culture and the Conflict in Southern Thailand. NUCB journal of language culture and communication, 7(1), 15-30.
Khalil, M. (2010). Car plate recognition using the template matching method. International Journal of Computer Theory and Engineering, 2(5), 683.
Matheson, V., & Hooker, M. B. (1988). Jawi literature in Patani: The maintenance of an Islamic tradition. Journal of the Malaysian Branch of the Royal Asiatic Society, 61(1 (254), 1-86.
Petrosino, A., & Salvi, G. (2006). Rough fuzzy set based scale space transforms and their use in image analysis. International Journal of Approximate Reasoning, 41(2), 212-228.
Sedaghat, A., Mokhtarzade, M., & Ebadi, H. (2011). Uniform robust scale-invariant feature matching for optical remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 49(11), 4516-4527.
Shu, H., Zhang, H., Chen, B., Haigron, P., & Luo, L. (2010). Fast computation of Tchebichef moments for binary and grayscale images. IEEE Transactions on Image Processing, 19(12), 3171-3180.
Ting, S.-H. (2010).Impact of language planning on language choice in friendship and transaction domains in Sarawak, Malaysia. Current Issues in Language Planning, 11(4), 397-412.
Zakraoui, J., Elloumi, S., Alja'am, J. M., & Yahia, S. B. (2019). Improving Arabic Text to Image Mapping Using a Robust Machine Learning Technique. IEEE Access, 7, 18772-18782.
Zheng, Y., Yin, P., Lu, X., Xu, Q., & Sole, J. (2016). Methods and apparatus for reduced complexity template matching prediction for video encoding and decoding. Google Patents. U.S. Patent No. 9,516,341. 6 December 2016.
Zhu, Q., Jing, L., & Bi, R. (2010). Exploration and improvement of Ostu threshold segmentation algorithm. The Proceedings of the 2010 8th World Congress on Intelligent Control and Automation, 7-9 July 2010, Jinan, China, 6183-6188.